DocumentCode
2300682
Title
Calibration-free rolling shutter removal
Author
Grundmann, Matthias ; Kwatra, Vivek ; Castro, Daniel ; Essa, Irfan
fYear
2012
fDate
28-29 April 2012
Firstpage
1
Lastpage
8
Abstract
We present a novel algorithm for efficient removal of rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences. Our algorithm can perform rolling shutter removal under varying focal lengths, as in videos from CMOS cameras equipped with an optical zoom. We evaluate our approach across a broad range of cameras and video sequences demonstrating robustness, scaleability, and repeatability. We also conducted a user study, which demonstrates preference for the output of our algorithm over other state-of-the art methods. Our algorithm is computationally efficient, easy to parallelize, and robust to challenging artifacts introduced by various cameras with differing technologies.
Keywords
CMOS image sensors; distortion; image sequences; video cameras; video streaming; CMOS cameras; calibration-free rolling shutter removal; focal lengths; optical zoom; repeatability; robustness; rolling shutter distortions; scaleability; specially recorded calibration sequences; uncalibrated streaming videos; Abstracts; Equations; Robustness; Tin;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Photography (ICCP), 2012 IEEE International Conference on
Conference_Location
Seattle, WA
Print_ISBN
978-1-4673-1660-6
Type
conf
DOI
10.1109/ICCPhot.2012.6215213
Filename
6215213
Link To Document